Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge.
Chompunuch SarasaenSoumick ChatterjeeMario BreitkopfGeorg RoseAndreas NürnbergerOliver SpeckPublished in: CoRR (2021)
Keyphrases
- super resolution
- fine tuning
- deep learning
- high resolution
- low resolution
- prior knowledge
- low resolution images
- motion estimation
- single image
- super resolution reconstruction
- high quality
- unsupervised learning
- mental models
- medical images
- depth map
- machine learning
- dimensionality reduction
- image patches
- learning algorithm
- face images
- probabilistic model
- pairwise
- feature extraction
- three dimensional